期刊
ANALYTICAL CHEMISTRY
卷 85, 期 6, 页码 3401-3408出版社
AMER CHEMICAL SOC
DOI: 10.1021/ac400099b
关键词
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资金
- Natural Sciences and Engineering Research Council of Canada
- Canada Research Chairs program
- Genome Canada
- Genome Alberta
- Alberta Innovates [201201143] Funding Source: researchfish
Identification of unknown metabolites is a major challenge in metabolomics. Without the identities of the metabolites, the metabolome data generated from a biological sample cannot be readily linked with the proteornic and genomic information for studies in systems biology and medicine. We have developed a web-based metabolite identification tool (http://www.mycompoundid.org) that allows searching and interpreting mass spectrometry (MS) data against a newly constructed metabolome library composed of 8 021 known human endogenous metabolites and their predicted metabolic products (375 809 compounds from one metabolic reaction and 10 583 901 from two reactions). As an example, in the analysis of a simple extract of human urine or plasma and the whole human urine by liquid chromatography-mass spectrometry and MS/MS, we are able to identify at least two times more metabolites in these samples than by using a standard human metabolome library. In addition, it is shown that the evidence-based metabolome library (EML) provides a much superior performance in identifying putative metabolites from a human urine sample, compared to the use of the ChemPub and KEGG libraries.
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